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Hey šŸ‘‹ I'm Fady Maher

A passionate AI Engineer from Egypt

Coding

fadymaher24

CVMy CV

  • šŸ”­ Iā€™m currently working on Online Shop Application

  • šŸŒ± Iā€™m currently learning IoT and Backend Development

  • šŸ‘Æ Iā€™m looking to collaborate on Smart City Mega Projects

  • šŸ’¬ Ask me about machine learning, MERN, computer vision, Embedded Systems, NLP

  • šŸ“« How to reach me [email protected]

Connect with me:

https://www.linkedin.com/in/fadymaher24/

Languages and Tools:

python arduino c cplusplus express firebase git go heroku java javascript matlab mongodb mysql nodejs opencv oracle pandas postman pytorch react scikit_learn seaborn tensorflow

fadymaher24

Fady Maher's Projects

airlevitationcontrolsystem icon airlevitationcontrolsystem

A project implementing an air levitation control system using Arduino, MATLAB, and various electronic components.

asynctcpserver icon asynctcpserver

A C# project for building a high-performance asynchronous TCP server with graceful shutdown and error handling.

cat-dog-audio-classification-mlp icon cat-dog-audio-classification-mlp

šŸ±šŸ¶ Classifying Cat and Dog Sounds with a Multi-Layer Perceptron (MLP) Identify and distinguish between the unique sounds of cats and dogs using machine learning and neural networks.

deepface icon deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

esp8266-esp32-sdk icon esp8266-esp32-sdk

Library for https://sinric.pro - simple way to connect your device to Alexa, Google Home, SmartThings and cloud

facenet-pytorch icon facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

hls.js icon hls.js

HLS.js is a JavaScript library that plays HLS in browsers with support for MSE.

leafmap icon leafmap

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

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